کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7376761 1480108 2017 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Application of artificial neural network with extreme learning machine for economic growth estimation
ترجمه فارسی عنوان
استفاده از شبکه عصبی مصنوعی با دستگاه یادگیری افراطی برای برآورد رشد اقتصادی
کلمات کلیدی
تولید ناخالص ملی، پیش بینی، دستگاه یادگیری شدید اقتصادی،
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات فیزیک ریاضی
چکیده انگلیسی
The purpose of this research is to develop and apply the artificial neural network (ANN) with extreme learning machine (ELM) to forecast gross domestic product (GDP) growth rate. The economic growth forecasting was analyzed based on agriculture, manufacturing, industry and services value added in GDP. The results were compared with ANN with back propagation (BP) learning approach since BP could be considered as conventional learning methodology. The reliability of the computational models was accessed based on simulation results and using several statistical indicators. Based on results, it was shown that ANN with ELM learning methodology can be applied effectively in applications of GDP forecasting.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Physica A: Statistical Mechanics and its Applications - Volume 465, 1 January 2017, Pages 285-288
نویسندگان
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